code: def model_clone_precision_inherition():
      inp = keras.Input(shape=(10,), name="inp")
      x = Dense(10, name="x")(inp)
      y = Dense(10, name="y")(inp)
      out = Add(name="out")([x, y])
      model = keras.Model(inp, out)
      return model
  
file_path: hls4ml/test/pytest/test_stream_clone.py
imports: from pathlib import Path
  import numpy
  import pytest
  from keras.layers import Add, Dense
  from tensorflow import keras
  from hls4ml.converters import convert_from_keras_model
label_desc: Use image node_id 1 for calling a global function with example usage: model_clone_precision_inherition() and returns: model